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Director - Process Data Enablement Product Owner

Scorpion Therapeutics · Durham, NC, USA ·

Pay:
130.000
Job type:
Full Time

Position Summary

The Director, Process Data Enablement Product Owner, is responsible for defining key capabilities, developing a roadmap, and driving delivery for process data and analytics products. Leads a team of product analysts and data engineers to deliver high-quality, reliable, governed data products enabling Process Performance Monitoring (PPM), batch data investigations, and cross-site process robustness analyses, and supports the development/adoption of Process Digital Twins.

Key Responsibilities

  • Define and communicate product vision/roadmap for process data enablement, aligned to business goals and user needs.
  • Lead, mentor, and develop product analysts and data engineers.
  • Oversee product lifecycle (conception to sustainment), including gathering and prioritizing requirements.
  • Collaborate with S&T stakeholders (biologics, small molecule, vaccines) to deliver data products/analytics solutions.
  • Drive data acquisition, data quality, and data governance.
  • Promote data literacy and self‑service analytics.
  • Manage and prioritize the product backlog based on business value.
  • Ensure compliance with SDLC, GMP/GxP, and other regulatory requirements.
  • Build relationships across manufacturing sites, Development/Commercialization teams, and IT to support process transfers/launches.

Required Qualifications

  • Bachelor’s degree in engineering/CS/related field + 10+ years relevant experience.
  • Product ownership/management experience; launched data‑intensive products.
  • Leadership experience managing/mentoring technical teams.
  • Strong communication and stakeholder influence
    egotiation.
  • Strategic thinker translating business needs into product vision.
  • Biopharmaceutical manufacturing process and data systems knowledge (e.g., MES, LIMS, PI, SAP).

Preferred Qualifications

  • Small molecule API manufacturing process knowledge.
  • Agile experience; digital/innovative mindset.
  • Advanced analytics/ML/AI in manufacturing.
  • Data visualization tools (OSI PI, Power BI, Seeq).
  • Manufacturing/process analytics (PPA/PPM), cross‑site analysis, GMP/GxP considerations.

Application Instructions

Apply via (deadline listed on posting).

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